[et_pb_section fb_built=”1″ fullwidth=”on” admin_label=”section” _builder_version=”3.0.47″ global_module=”322″][et_pb_fullwidth_menu menu_id=”7″ submenu_direction=”downwards” fullwidth_menu=”off” module_class=”main-navigation” _builder_version=”3.0.106″ background_layout=”dark”][\/et_pb_fullwidth_menu][\/et_pb_section][et_pb_section fb_built=”1″ fullwidth=”on” _builder_version=”3.0.47″][et_pb_fullwidth_slider show_arrows=”off” show_pagination=”off” _builder_version=”3.17.6″ background_position=”top_left” custom_padding=”|||” custom_css_slide_description=”animation: none!important;” custom_css_slide_title=”animation:none!important;” button_text_size__hover_enabled=”off” button_text_size__hover=”null” button_one_text_size__hover_enabled=”off” button_one_text_size__hover=”null” button_two_text_size__hover_enabled=”off” button_two_text_size__hover=”null” button_text_color__hover_enabled=”off” button_text_color__hover=”null” button_one_text_color__hover_enabled=”off” button_one_text_color__hover=”null” button_two_text_color__hover_enabled=”off” button_two_text_color__hover=”null” button_border_width__hover_enabled=”off” button_border_width__hover=”null” button_one_border_width__hover_enabled=”off” button_one_border_width__hover=”null” button_two_border_width__hover_enabled=”off” button_two_border_width__hover=”null” button_border_color__hover_enabled=”off” button_border_color__hover=”null” button_one_border_color__hover_enabled=”off” button_one_border_color__hover=”null” button_two_border_color__hover_enabled=”off” button_two_border_color__hover=”null” button_border_radius__hover_enabled=”off” button_border_radius__hover=”null” button_one_border_radius__hover_enabled=”off” button_one_border_radius__hover=”null” button_two_border_radius__hover_enabled=”off” button_two_border_radius__hover=”null” button_letter_spacing__hover_enabled=”on” button_letter_spacing__hover=”0″ button_one_letter_spacing__hover_enabled=”off” button_one_letter_spacing__hover=”null” button_two_letter_spacing__hover_enabled=”off” button_two_letter_spacing__hover=”null” button_bg_color__hover_enabled=”off” button_bg_color__hover=”null” button_one_bg_color__hover_enabled=”off” button_one_bg_color__hover=”null” button_two_bg_color__hover_enabled=”off” button_two_bg_color__hover=”null”][et_pb_slide heading=”Centre for Biostatistics” use_bg_overlay=”off” use_text_overlay=”off” _builder_version=”3.17.6″ background_color=”#ffffff” background_image=”https:\/\/sites.manchester.ac.uk\/biostatistics\/wp-content\/uploads\/sites\/330\/2021\/10\/biost-1.png” background_position=”top_left” custom_button=”on” button_bg_color=”#27a2db” button_border_color=”#27a2db” button_use_icon=”on” button_on_hover=”on”]<\/p>\n
Statistical expertise in biological, medical and health research at The University of Manchester.<\/p>\n
[\/et_pb_slide][\/et_pb_fullwidth_slider][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”3.17.6″][et_pb_row custom_padding=”3em||0.5em|” parallax_method_1=”off” _builder_version=”3.0.47″ background_size=”initial” background_position=”top_left” background_repeat=”repeat”][et_pb_column type=”4_4″ _builder_version=”3.0.47″ parallax=”off” parallax_method=”off”][et_pb_text admin_label=”Spacing” _builder_version=”3.17.6″]<\/p>\n
<\/p>\n
<\/p>\n
[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”3.0.48″ background_size=”initial” background_position=”top_left” background_repeat=”repeat”][et_pb_column type=”1_2″ _builder_version=”3.0.47″ parallax=”off” parallax_method=”on”][et_pb_text admin_label=”Intro left” _builder_version=”3.17.6″]<\/p>\n
We have an international reputation for innovative statistical research, excellent teaching and interdisciplinary collaboration over more than 20 years.<\/p>\n
[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”3.0.47″ parallax=”off” parallax_method=”on”][et_pb_text admin_label=”Intro right” _builder_version=”3.17.6″]<\/p>\n
Starting as the Biostatistics Group in 1997, the Centre is now a professional focus for medical statisticians and Biostatisticians within the Faculty of Biology, Medicine and Health at The University of Manchester.<\/p>\n
We undertake a blend of high quality applied and methodological research which is complemented by relevant teaching activities.\u00a0<\/p>\n
Our programme of research is collaborative and often international. It acts as the prime source of statistical expertise in the Faculty,\u00a0 and the local office of the NIHR Research Support Service.<\/p>\n
[\/et_pb_text][et_pb_divider _builder_version=”3.17.6″]<\/p>\n
[\/et_pb_divider][et_pb_text admin_label=”Jump links” _builder_version=”3.17.6″]<\/p>\n
On this page:<\/strong><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”3.0.48″ background_size=”initial” background_position=”top_left” background_repeat=”repeat”][et_pb_column type=”4_4″ _builder_version=”3.0.47″ parallax=”off” parallax_method=”on”][et_pb_text admin_label=”Spacing” _builder_version=”3.17.6″]<\/p>\n <\/p>\n <\/p>\n [\/et_pb_text][et_pb_divider _builder_version=”3.17.6″]<\/p>\n [\/et_pb_divider][et_pb_text admin_label=”Our research” _builder_version=”3.17.6″]<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”3.0.48″ background_size=”initial” background_position=”top_left” background_repeat=”repeat”][et_pb_column type=”1_2″ _builder_version=”3.0.47″ parallax=”off” parallax_method=”on”][et_pb_text admin_label=”Research left” _builder_version=”3.17.6″]<\/p>\n Underpinning all our work in collaborative clinical and healthcare research is a vibrant programme of funded methodological research.<\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”3.0.47″ parallax=”off” parallax_method=”on”][et_pb_accordion _builder_version=”3.17.6″][et_pb_accordion_item title=”Methods” open=”on” _builder_version=”3.17.6″ title_text_shadow_horizontal_length=”0em” title_text_shadow_vertical_length=”0em” title_text_shadow_blur_strength=”0em” body_text_shadow_horizontal_length=”0em” body_text_shadow_vertical_length=”0em” body_text_shadow_blur_strength=”0em”]<\/p>\n Our staff have a wide range of methodological interests and strengths including:<\/p>\n Clinical trials and methodology<\/b><\/strong><\/p>\n Evidence synthesis<\/b><\/strong><\/p>\n Epidemiology and analysis of observational studies<\/b><\/strong><\/p>\n Statistical modelling<\/b><\/strong><\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”Research areas” open=”off” _builder_version=”3.17.6″ title_text_shadow_horizontal_length=”0em” title_text_shadow_vertical_length=”0em” title_text_shadow_blur_strength=”0em” body_text_shadow_horizontal_length=”0em” body_text_shadow_vertical_length=”0em” body_text_shadow_blur_strength=”0em”]<\/p>\n We collaborate closely with colleagues across the University and beyond on a wide-range of clinical projects, particularly in the areas of:<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=” Social responsibility” open=”off” _builder_version=”3.17.6″ title_text_shadow_horizontal_length=”0em” title_text_shadow_vertical_length=”0em” title_text_shadow_blur_strength=”0em” body_text_shadow_horizontal_length=”0em” body_text_shadow_vertical_length=”0em” body_text_shadow_blur_strength=”0em”]<\/p>\n It is our social responsibility, as collaborators and advisors in applied research programmes, to ensure best practice in project design, statistical analysis and the interpretation and presentation of the results.<\/p>\n We ensure, as far as possible, that our clinical and healthcare research collaborators are drawing valid and robust inferences and are avoiding making claims that are not justified by evidence.<\/p>\n This is supplemented by our commitment to the Research Support Service and a series of training workshops and seminars to update biostatisticians and others on developments in the field.<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”Publications” open=”off” _builder_version=”3.17.6″ title_text_shadow_horizontal_length=”0em” title_text_shadow_vertical_length=”0em” title_text_shadow_blur_strength=”0em” body_text_shadow_horizontal_length=”0em” body_text_shadow_vertical_length=”0em” body_text_shadow_blur_strength=”0em”]View our members publications via the Members section below.[\/et_pb_accordion_item][et_pb_accordion_item title=”Key Projects” open=”off” _builder_version=”3.17.6″ title_text_shadow_horizontal_length=”0em” title_text_shadow_vertical_length=”0em” title_text_shadow_blur_strength=”0em” body_text_shadow_horizontal_length=”0em” body_text_shadow_vertical_length=”0em” body_text_shadow_blur_strength=”0em”]<\/p>\n INSPECT-SR (INveStigating [\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”3.0.48″ background_size=”initial” background_position=”top_left” background_repeat=”repeat”][et_pb_column type=”4_4″ _builder_version=”3.0.47″ parallax=”off” parallax_method=”on”][et_pb_text admin_label=”Spacing” _builder_version=”3.17.6″]<\/p>\n <\/p>\n < Back to top<\/a><\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/sites.manchester.ac.uk\/biostatistics\/wp-content\/uploads\/sites\/330\/2021\/10\/bio-2.png” _builder_version=”3.17.6″]<\/p>\n [\/et_pb_image][et_pb_text admin_label=”Our members” _builder_version=”3.17.6″]<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”3.0.48″ background_size=”initial” background_position=”top_left” background_repeat=”repeat”][et_pb_column type=”1_2″ _builder_version=”3.0.47″ parallax=”off” parallax_method=”on”][et_pb_text admin_label=”Team left” _builder_version=”3.17.6″]<\/p>\n Staff in the Centre come from a variety of backgrounds, covering a number of areas of expertise across biology, medicine, health and statistics. Jingqi Zhu, PhD student<\/p>\n<\/li>\n [\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”3.0.48″ background_size=”initial” background_position=”top_left” background_repeat=”repeat”][et_pb_column type=”4_4″ _builder_version=”3.0.47″ parallax=”off” parallax_method=”on”][et_pb_text admin_label=”Spacing” _builder_version=”3.17.6″]<\/p>\n <\/p>\n < Back to top<\/a><\/p>\n [\/et_pb_text][et_pb_divider _builder_version=”3.17.6″]<\/p>\n [\/et_pb_divider][et_pb_text admin_label=”Collaborate with us” _builder_version=”3.17.6″]<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”3.0.48″ background_size=”initial” background_position=”top_left” background_repeat=”repeat”][et_pb_column type=”1_2″ _builder_version=”3.0.47″ parallax=”off” parallax_method=”on”][et_pb_text admin_label=”Collaborate with us left” _builder_version=”3.17.6″]<\/p>\n The Biostatistics Collaboration Unit (BCU) in the Centre exists to provide statistical expertise for grant-funded research across the full spectrum of biological, medical and health research.<\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”3.0.47″ parallax=”off” parallax_method=”on”][et_pb_text _builder_version=”3.17.6″]<\/p>\n Investigators can apply for part-time and temporary statistical input on grants to fit their needs.<\/p>\n We can help with:<\/p>\n [\/et_pb_text][et_pb_accordion _builder_version=”3.17.6″][et_pb_accordion_item title=”How to access our services” open=”on” _builder_version=”3.17.6″ title_text_shadow_horizontal_length=”0em” title_text_shadow_vertical_length=”0em” title_text_shadow_blur_strength=”0em” body_text_shadow_horizontal_length=”0em” body_text_shadow_vertical_length=”0em” body_text_shadow_blur_strength=”0em”]<\/p>\n To find out how we can help you, contact us at biostatsenquiries@manchester.ac.uk<\/u><\/a>.<\/p>\n If we can support your project, the process is usually as follows:<\/p>\n <\/p>\n [\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”3.0.48″ background_size=”initial” background_position=”top_left” background_repeat=”repeat”][et_pb_column type=”4_4″ _builder_version=”3.0.47″ parallax=”off” parallax_method=”on”][et_pb_text admin_label=”Spacing” _builder_version=”3.17.6″]<\/p>\n <\/p>\n < Back to top<\/a><\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/sites.manchester.ac.uk\/biostatistics\/wp-content\/uploads\/sites\/330\/2021\/11\/bio-2.png” _builder_version=”3.17.6″]<\/p>\n [\/et_pb_image][et_pb_text admin_label=”Teaching” _builder_version=”3.17.6″]<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”3.0.48″ background_size=”initial” background_position=”top_left” background_repeat=”repeat”][et_pb_column type=”1_2″ _builder_version=”3.0.47″ parallax=”off” parallax_method=”on”][et_pb_text admin_label=”Teaching left” _builder_version=”3.17.6″]<\/p>\n We contribute to a number of undergraduate and postgraduate courses, and provide training in statistics to both staff and students.<\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”3.0.47″ parallax=”off” parallax_method=”on”][et_pb_text admin_label=”Text: Resources” _builder_version=”3.17.6″]<\/p>\n A collection of resources we use in our teaching and training to assist with statistical analysis.<\/p>\n [\/et_pb_text][et_pb_accordion admin_label=”Accordion: Teaching” _builder_version=”3.17.6″][et_pb_accordion_item title=”Undergraduate” open=”on” _builder_version=”3.17.6″ title_text_shadow_horizontal_length=”0em” title_text_shadow_vertical_length=”0em” title_text_shadow_blur_strength=”0em” body_text_shadow_horizontal_length=”0em” body_text_shadow_vertical_length=”0em” body_text_shadow_blur_strength=”0em”]<\/p>\n We support the Evidence Based Medicine (EBM) programme of the medical undergraduate degree in the Manchester Medical School.<\/p>\n We also teach biostatistics modules within the undergraduate programme in the Department of Mathematics.<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”Postgraduate” open=”off” _builder_version=”3.17.6″ title_text_shadow_horizontal_length=”0em” title_text_shadow_vertical_length=”0em” title_text_shadow_blur_strength=”0em” body_text_shadow_horizontal_length=”0em” body_text_shadow_vertical_length=”0em” body_text_shadow_blur_strength=”0em”]<\/p>\n We contribute to the development and implementation of the statistical components of the following courses:<\/p>\n <\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”Epidemiology Summer School” open=”off” _builder_version=”3.17.6″ title_text_shadow_horizontal_length=”0em” title_text_shadow_vertical_length=”0em” title_text_shadow_blur_strength=”0em” body_text_shadow_horizontal_length=”0em” body_text_shadow_vertical_length=”0em” body_text_shadow_blur_strength=”0em”]<\/p>\n Alongside colleagues from the Division of Population Health, Health Services Research and Primary Care, we run an Epidemiology International Summer School, a three-week course covering the fundamentals of epidemiology, biostatistics and health economics.<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”Training and statistical advice” open=”off” _builder_version=”3.17.6″ title_text_shadow_horizontal_length=”0em” title_text_shadow_vertical_length=”0em” title_text_shadow_blur_strength=”0em” body_text_shadow_horizontal_length=”0em” body_text_shadow_vertical_length=”0em” body_text_shadow_blur_strength=”0em”]<\/p>\n Training and advice for potential grant applications (including help in building research teams by finding possible collaborating methodologists) is provided through the Manchester Hub of the region\u2019s\u00a0NIHR Research Support Service (RDS)<\/u><\/a>\u00a0led from within the Centre.<\/p>\n Where projects require statistical input,\u00a0the Centre is open to research collaborations, such as PhD supervisions and grant applications. The Centre\u00a0may be able to supply statistical services where these can be appropriately funded.\u00a0<\/p>\n To arrange an appointment with a statistician,\u00a0email\u00a0biostatsenquiries@manchester.ac.uk<\/u><\/a>.<\/p>\n [\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion admin_label=”Accordion: Resources” _builder_version=”3.17.6″][et_pb_accordion_item title=”SPSS handouts” open=”on” _builder_version=”3.17.6″ title_text_shadow_horizontal_length=”0em” title_text_shadow_vertical_length=”0em” title_text_shadow_blur_strength=”0em” body_text_shadow_horizontal_length=”0em” body_text_shadow_vertical_length=”0em” body_text_shadow_blur_strength=”0em”]<\/p>\n This handout is an introduction to SPSS (Statistical Package for the Social Sciences). It covers:<\/p>\n The methods are introduced through the analysis of data from an epidemiological study of dust exposure and respiratory disease.<\/p>\n The handout gives some guidance regarding the interpretation of results and presentation in a paper and project report.<\/p>\n SPSS notes<\/a> (PDF, 6 MB) The following datasets are used with these notes:<\/p>\n Data file: foundry.sav (file no longer available) <\/p>\n Data file: foundry.xls<\/a><\/p>\n<\/blockquote>\n Last updated: 4 January 2006 Data file: foundrysyn.SPS<\/a> [\/et_pb_accordion_item][et_pb_accordion_item title=”StatsDirect handouts” open=”off” _builder_version=”3.17.6″ title_text_shadow_horizontal_length=”0em” title_text_shadow_vertical_length=”0em” title_text_shadow_blur_strength=”0em” body_text_shadow_horizontal_length=”0em” body_text_shadow_vertical_length=”0em” body_text_shadow_blur_strength=”0em”]<\/p>\n This handout is an introduction to StatsDirect. It covers:<\/p>\n The methods are introduced through the analysis of data from an epidemiological study of dust exposure and respiratory disease.<\/p>\n The handout gives some guidance regarding the interpretation of results and presentation in a paper and project report.<\/p>\n StatsDirect notes<\/a> (PDF) prepared by Tripti Halder, Chris Roberts and Matthew Gittins of the Biostatistics Group, May 2017. The following dataset is used with these notes:<\/p>\n Data file: foundry.xls<\/a> [\/et_pb_accordion_item][et_pb_accordion_item title=”STATA handouts” open=”off” _builder_version=”3.17.6″ title_text_shadow_horizontal_length=”0em” title_text_shadow_vertical_length=”0em” title_text_shadow_blur_strength=”0em” body_text_shadow_horizontal_length=”0em” body_text_shadow_vertical_length=”0em” body_text_shadow_blur_strength=”0em”]<\/p>\n STATA notes<\/a> (PDF) ‘How to’ STATA tutorials<\/a> from the London School of Economics<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”Statistical support” open=”off” _builder_version=”3.17.6″ title_text_shadow_horizontal_length=”0em” title_text_shadow_vertical_length=”0em” title_text_shadow_blur_strength=”0em” body_text_shadow_horizontal_length=”0em” body_text_shadow_vertical_length=”0em” body_text_shadow_blur_strength=”0em”]<\/p>\n Where projects require statistical support, the Centre is open to collaborations (student supervisions, grant applications), and may be able to supply statistical services where these can be appropriately funded.\u00a0<\/p>\n In the first instance, we suggest making contact by email: biostatsenquiries@manchester.ac.uk<\/a>.<\/p>\n Please include:<\/p>\n <\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”Book list” open=”off” _builder_version=”3.17.6″ title_text_shadow_horizontal_length=”0em” title_text_shadow_vertical_length=”0em” title_text_shadow_blur_strength=”0em” body_text_shadow_horizontal_length=”0em” body_text_shadow_vertical_length=”0em” body_text_shadow_blur_strength=”0em”]<\/p>\n The following introductory texts are recommended:<\/p>\n [\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”3.0.48″ background_size=”initial” background_position=”top_left” background_repeat=”repeat”][et_pb_column type=”4_4″ _builder_version=”3.0.47″ parallax=”off” parallax_method=”on”][et_pb_text admin_label=”Spacing” _builder_version=”3.17.6″]<\/p>\n <\/p>\n < Back to top<\/a><\/p>\n [\/et_pb_text][et_pb_divider _builder_version=”3.17.6″]<\/p>\n [\/et_pb_divider][et_pb_text admin_label=”Opportunities” _builder_version=”3.17.6″]<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”3.0.48″ background_size=”initial” background_position=”top_left” background_repeat=”repeat”][et_pb_column type=”1_2″ _builder_version=”3.0.47″ parallax=”off” parallax_method=”on”][et_pb_text admin_label=”Opportunities left” _builder_version=”3.17.6″]<\/p>\n Start or continue your career in biostatistics at the Centre. Vacancies, fellowship and studentship opportunities will be posted here when they are available. <\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”3.0.47″ parallax=”off” parallax_method=”on”][et_pb_text _builder_version=”3.17.6″]<\/p>\n We welcome anyone wishing to\u00a0apply for\u00a0a National Institute for Health and Care Research<\/u><\/a>\u00a0or\u00a0MRC<\/u><\/a>\u00a0fellowships who want to be based in the Centre.<\/p>\n Potential applicants should contact individual academics or Hui Guo<\/u><\/a>\u00a0(Centre Lead) in the first instance.<\/p>\n Self-funded students interested in undertaking a PhD\u00a0should contact individual academics to enquire about research opportunities.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”3.0.48″ background_size=”initial” background_position=”top_left” background_repeat=”repeat”][et_pb_column type=”4_4″ _builder_version=”3.0.47″ parallax=”off” parallax_method=”on”][et_pb_text admin_label=”Spacing” _builder_version=”3.17.6″]<\/p>\n <\/p>\n < Back to top<\/a><\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/sites.manchester.ac.uk\/biostatistics\/wp-content\/uploads\/sites\/330\/2021\/10\/bio3-4.png” _builder_version=”3.17.6″]<\/p>\n [\/et_pb_image][et_pb_text admin_label=”Software” _builder_version=”3.17.6″]<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”3.0.48″ background_size=”initial” background_position=”top_left” background_repeat=”repeat”][et_pb_column type=”1_2″ _builder_version=”3.0.47″ parallax=”off” parallax_method=”on”][et_pb_text admin_label=”Software left” _builder_version=”3.17.6″]<\/p>\n Discover software modules developed by our members that can be used in Stata.<\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”3.0.47″ parallax=”off” parallax_method=”on”][et_pb_accordion _builder_version=”3.17.6″][et_pb_accordion_item title=”clsampsi” open=”on” _builder_version=”3.17.6″ title_text_shadow_horizontal_length=”0em” title_text_shadow_vertical_length=”0em” title_text_shadow_blur_strength=”0em” body_text_shadow_horizontal_length=”0em” body_text_shadow_vertical_length=”0em” body_text_shadow_blur_strength=”0em”]<\/p>\n clsampsi is an ADO file which calculates the power for trials and the number of clusters and cluster sizes required for the difference of means or proportions in the presence of differential clustering effects between study arms.<\/p>\n A \u2018rough\u2019 approximation to the optimum allocation ratio for such a trial, given a desired power, is also available (under the optimal option).<\/p>\n Sample size and power calculation for trials with clustering is commonly based on a summary t-test. Where there is differential pattern of clustering between arms, heteroscedasticity is introduced into the summary measures comparison.<\/p>\n A summary measures statistical analysis should therefore be based on Satterthwaite’s approximate F test using modified degrees of freedom rather than a t-test.<\/p>\n Authors:<\/strong> Eva Batistatou and Chris Roberts<\/p>\n Further information:<\/strong> the command can be installed within Stata by typing ‘findit clsampsi’ at the command prompt.<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”dr (double robust)” open=”off” _builder_version=”3.17.6″ title_text_shadow_horizontal_length=”0em” title_text_shadow_vertical_length=”0em” title_text_shadow_blur_strength=”0em” body_text_shadow_horizontal_length=”0em” body_text_shadow_vertical_length=”0em” body_text_shadow_blur_strength=”0em”]<\/p>\n dr computes a double-robust effect estimate for the effect of a treatment on an outcome given a set of confounders.<\/p>\n The confounding effect is adjusted for in two ways: by modeling the effect of both treatment and confounders on the outcome (outcome model), and by weighting observations according to the inverse of their probability of receiving the treatment they actually received (propensity model).<\/p>\n If either the outcome model or the propensity model is correct, the doubly robust estimate is unbiased. <\/p>\n Author:<\/b><\/strong> Richard Emsley and Mark Lunt<\/p>\n Reference: <\/b><\/strong>Emsley R, Lunt M, Pickles A and Dunn G. The Stata Journal, 2008, Vol 8(3), pp.334-353.<\/p>\n Further information:<\/b><\/strong> the command can be installed within Stata by typing ‘search dr’ at the command prompt, or from the following link: Download the dr command<\/u><\/a><\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”gllamm (generalised linear latent and mixed models)” open=”off” _builder_version=”3.17.6″ title_text_shadow_horizontal_length=”0em” title_text_shadow_vertical_length=”0em” title_text_shadow_blur_strength=”0em” body_text_shadow_horizontal_length=”0em” body_text_shadow_vertical_length=”0em” body_text_shadow_blur_strength=”0em”]<\/p>\n These models include multilevel generalised linear regression models (extensions of the simple random intercept models that may be fitted in Stata using xtreg, xtlogit, xtpois to include multilevel and random coefficient models), multilevel factor models and multilevel structural equation models.<\/p>\n The latent variables (or random effects) can be assumed to have a multivariate normal distribution or to be discrete allowing nonparametric maximum likelihood estimation.<\/p>\n The common links and families of generalised linear models are available and responses can be of mixed type including continuous, censored, discrete, dichotomous, ordered categorical and unordered categorical.<\/p>\n\n
Our research<\/h2>\n
\n
\n
\n
\n
\n
ProblEmatic Clinical Trials in Systematic Reviews)<\/strong><\/p>\n\n
for identifying problematic studies in the context of systematic reviews of RCTs of health interventions<\/li>\nOur members<\/h2>\n
\n[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”3.0.47″ parallax=”off” parallax_method=”on”][et_pb_accordion _builder_version=”3.17.6″][et_pb_accordion_item title=”Members (A to Z)” open=”on” _builder_version=”3.17.6″ title_text_shadow_horizontal_length=”0em” title_text_shadow_vertical_length=”0em” title_text_shadow_blur_strength=”0em” body_text_shadow_horizontal_length=”0em” body_text_shadow_vertical_length=”0em” body_text_shadow_blur_strength=”0em”]<\/p>\n\n
Collaborate with us<\/h2>\n
\n
\n
Teaching and resources<\/h2>\n
Statistical resources<\/h3>\n
\n
\n
Last updated: 15 March 2017 by Matthew Gittins<\/p>\n\n
<\/a><\/p>\n
File size: 44 KB<\/p>\n
Last updated: 28 March 2006<\/p>\n\n
Last updated: 6 May 2017
File size: 3,934 KB<\/p>\n
Last updated: 4 January 2006
File size: 44 KB<\/p>\n
File size: 1,936 KB<\/p>\n\n
\n
Opportunities<\/h2>\n
Fellowships<\/h3>\n
PhD studentships<\/h3>\n
Software<\/h2>\n