Blog
RSS FeedPosted by Michael Wonder on 17 Feb 2021
Immortal time bias in observational studies
16 February 2021 - Observational studies are commonly used to evaluate the association between a risk factor or “exposure” and the ...
Posted by Michael Wonder on 14 Feb 2021
Why proper understanding of confidence intervals and statistical significance is important
15 February 2021 - Guidelines for reporting results from randomised trials have long underscored the importance of confidence intervals. ...
Posted by Michael Wonder on 02 Feb 2021
Is it time to stop using statistical significance?
1 February 2021 - The important first step in the critical appraisal of a randomised trial is not an evaluation ...
Posted by Michael Wonder on 09 Dec 2020
Even before year end, 2020's new drug approvals match FDA's 2019 stats
7 December 2020 - The US FDA has kept its new drug approvals for 2020 on track to match or ...
Posted by Michael Wonder on 28 Sep 2020
Worst-rank score methods—a non-parametric approach to informatively missing data
28 September 2020 - A previous JAMA Guide to Statistics and Methods article briefly reviewed non-parametric statistics. ...
Posted by Michael Wonder on 15 Sep 2020
Estimating risk ratios and risk differences: alternatives to odds ratios
15 September 2020 - The goal of many medical research studies is to estimate the direction and magnitude of the effect ...
Posted by Michael Wonder on 02 Jul 2020
Regression discontinuity design
2 July 2020 - The method is used to study the outcomes related to an abrupt change when it is not ...
Posted by Michael Wonder on 14 Mar 2020
Why test for proportional hazards?
13 March 2020 - The Cox proportional hazards model, introduced in 1972, has become the default approach for survival analysis in ...
Posted by Michael Wonder on 18 Nov 2019
Biostatistics: a fundamental discipline at the core of modern health data science
28 October 2019 - The value of our health and medical research investment is at risk unless we foster the discipline ...
Posted by Michael Wonder on 03 May 2019
Using instrumental variables to address bias from unobserved confounders
2 May 2019 - Randomised clinical trials are considered the most reliable source of evidence for the effects of medical interventions, ...
Posted by Michael Wonder on 04 Apr 2019
The importance of predefined rules and pre-specified statistical analyses: do not abandon significance
4 April 2019 - For decades, statisticians and clinicians have debated the meaning of statistical and clinical significance. ...
Posted by Michael Wonder on 01 Apr 2019
The stepped wedge cluster randomised trial: what it is and when it should be used
1 April 2019 - The basic premise of a stepped wedge cluster randomised trial is that all clusters start in the ...
Posted by Michael Wonder on 09 Mar 2019
Marginal effects—quantifying the effect of changes in risk factors in logistic regression models
8 March 2019 - Marginal effects can be used to express how the predicted probability of a binary outcome changes ...
Posted by Michael Wonder on 08 Feb 2019
Number needed to treat: conveying the likelihood of a therapeutic effect
7 February 2019 - Effectively communicating clinical trial results to patients and clinicians is a requirement for appropriate application in ...
Posted by Michael Wonder on 25 Jan 2019
Using the E value to assess the potential effect of unmeasured confounding in observational studies
24 January 2019 - Randomised trials serve as the standard for comparative studies of treatment effects. ...