Michael C. Sachs
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View article: caugi: Causal Graph Interface
caugi: Causal Graph Interface Open
View article: Nonparametric Bounds for Evaluating the Clinical Utility of Treatment Rules
Nonparametric Bounds for Evaluating the Clinical Utility of Treatment Rules Open
Evaluating the value of new clinical treatment rules based on patient characteristics is important but often complicated by hidden confounding factors in observational studies. Standard methods for estimating the average patient outcome if…
View article: Machine learning-based prediction of celiac antibody seropositivity by biochemical test parameters
Machine learning-based prediction of celiac antibody seropositivity by biochemical test parameters Open
View article: Evaluation of clinical utility in emulated clinical trials
Evaluation of clinical utility in emulated clinical trials Open
Dynamic treatment regimes have been proposed to personalize treatment decisions by utilizing historical patient data, but they may not always improve on the current standard of care. It is thus meaningful to integrate the standard of care …
View article: xactonomial: Inference for Functions of Multinomial Parameters
xactonomial: Inference for Functions of Multinomial Parameters Open
View article: The next generation of regression standardization with the R package stdReg2
The next generation of regression standardization with the R package stdReg2 Open
Regression standardization is a useful tool for performing causal inference in epidemiology. We have updated the R package stdReg to stdReg2 to be more user-friendly, flexible, and to include two new functionalities, a generalized linear m…
View article: Adding covariates to bounds: What is the question?
Adding covariates to bounds: What is the question? Open
Symbolic nonparametric bounds for partial identification of causal effects now have a long history in the causal literature. Sharp bounds, bounds that use all available information to make the range of values as narrow as possible, are oft…
View article: Inflammatory plasma protein levels are elevated years before sarcoidosis diagnosis: a nested case–control study in Sweden
Inflammatory plasma protein levels are elevated years before sarcoidosis diagnosis: a nested case–control study in Sweden Open
Background Sarcoidosis is an immune-mediated inflammatory disease whose natural development is not well understood. We aimed to determine if inflammatory plasma protein levels are elevated before sarcoidosis diagnosis compared to controls.…
View article: Comparative Risk of Serious Infection With Vedolizumab vs Anti-Tumor Necrosis Factor in Inflammatory Bowel Disease: Results From Nationwide Swedish Registers
Comparative Risk of Serious Infection With Vedolizumab vs Anti-Tumor Necrosis Factor in Inflammatory Bowel Disease: Results From Nationwide Swedish Registers Open
INTRODUCTION: We aimed to assess the risk of serious infection in patients with inflammatory bowel disease (IBD) treated with vedolizumab compared with those treated with anti-tumor necrosis factors (TNF) and the general population. METHOD…
View article: Propensity weighting plus adjustment in proportional hazards model is not doubly robust
Propensity weighting plus adjustment in proportional hazards model is not doubly robust Open
Recently, it has become common for applied works to combine commonly used survival analysis modeling methods, such as the multivariable Cox model and propensity score weighting, with the intention of forming a doubly robust estimator of an…
View article: Improved small-sample inference for functions of parameters in the k-sample multinomial problem
Improved small-sample inference for functions of parameters in the k-sample multinomial problem Open
When the target parameter for inference is a real-valued, continuous function of probabilities in the $k$-sample multinomial problem, variance estimation may be challenging. In small samples or when the function is nondifferentiable at the…
View article: Accessible Computation of Tight Symbolic Bounds on Causal Effects using an Intuitive Graphical Interface
Accessible Computation of Tight Symbolic Bounds on Causal Effects using an Intuitive Graphical Interface Open
View article: Sharp symbolic nonparametric bounds for measures of benefit in observational and imperfect randomized studies with ordinal outcomes
Sharp symbolic nonparametric bounds for measures of benefit in observational and imperfect randomized studies with ordinal outcomes Open
The probability of benefit can be a valuable and meaningful measure of treatment effect. Particularly for an ordinal outcome, it can have an intuitive interpretation. Unfortunately, this measure, and variations of it, are not identifiable …
View article: The impact of coarsening an exposure on partial identifiability in instrumental variable settings
The impact of coarsening an exposure on partial identifiability in instrumental variable settings Open
In instrumental variable (IV) settings, such as in imperfect randomized trials and observational studies with Mendelian randomization, one may encounter a continuous exposure, the causal effect of which is not of true interest. Instead, sc…
View article: Menopausal hormone therapy and risk of sarcoidosis: a population-based nested case–control study in Sweden
Menopausal hormone therapy and risk of sarcoidosis: a population-based nested case–control study in Sweden Open
View article: P680 Comparative risk of serious infection with vedolizumab vs anti-TNF in Inflammatory Bowel Disease: Results from nationwide Swedish registers
P680 Comparative risk of serious infection with vedolizumab vs anti-TNF in Inflammatory Bowel Disease: Results from nationwide Swedish registers Open
Background The real-world comparative safety of vedolizumab in inflammatory bowel disease (IBD) remains uncertain. We aimed to assess the risk of serious infection in IBD patients treated with vedolizumab, compared to (i) those treated wit…
View article: The Next Generation of Regression Standardization with the R Package Stdreg2
The Next Generation of Regression Standardization with the R Package Stdreg2 Open
View article: Inverse probability of treatment weighting with generalized linear outcome models for doubly robust estimation
Inverse probability of treatment weighting with generalized linear outcome models for doubly robust estimation Open
There are now many options for doubly robust estimation; however, there is a concerning trend in the applied literature to believe that the combination of a propensity score and an adjusted outcome model automatically results in a doubly r…
View article: Propensity weighting plus adjustment in proportional hazards model is not doubly robust
Propensity weighting plus adjustment in proportional hazards model is not doubly robust Open
Recently, it has become common for applied works to combine commonly used survival analysis modeling methods, such as the multivariable Cox model and propensity score weighting, with the intention of forming a doubly robust estimator of an…
View article: Inverse probability of treatment weighting with generalized linear outcome models for doubly robust estimation
Inverse probability of treatment weighting with generalized linear outcome models for doubly robust estimation Open
There are now many options for doubly robust estimation; however, there is a concerning trend in the applied literature to believe that the combination of a propensity score and an adjusted outcome model automatically results in a doubly r…
View article: PB2704: PREDICTING HEMATOLOGICAL MALIGNANCIES USING COMPLETE BLOOD CELL COUNTS FROM PRIMARY CARE
PB2704: PREDICTING HEMATOLOGICAL MALIGNANCIES USING COMPLETE BLOOD CELL COUNTS FROM PRIMARY CARE Open
Topic: 36. Ethics and health economics Background: Hematological malignancies are rare and primary care physicians often only encounter a few cases throughout their career. As optimal referral to secondary care often relies on a combinatio…
View article: Sharp symbolic nonparametric bounds for measures of benefit in observational and imperfect randomized studies with ordinal outcomes
Sharp symbolic nonparametric bounds for measures of benefit in observational and imperfect randomized studies with ordinal outcomes Open
The probability of benefit is a valuable and important measure of treatment effect, which has advantages over the average treatment effect. Particularly for an ordinal outcome, it has a better interpretation and can make apparent different…
View article: Increasing Risk of Lymphoma Over Time in Crohn’s Disease but Not in Ulcerative Colitis: A Scandinavian Cohort Study
Increasing Risk of Lymphoma Over Time in Crohn’s Disease but Not in Ulcerative Colitis: A Scandinavian Cohort Study Open
View article: Modifiable lifestyle risk factors for sarcoidosis: a nested case–control study
Modifiable lifestyle risk factors for sarcoidosis: a nested case–control study Open
Objective We aimed to investigate whether obesity, tobacco use, alcohol consumption and physical inactivity are associated with sarcoidosis risk. Methods We conducted a matched case–control study nested within the Northern Sweden Health an…
View article: Confirmatory prediction-driven RCTs in comparative effectiveness settings for cancer treatment
Confirmatory prediction-driven RCTs in comparative effectiveness settings for cancer treatment Open
View article: Flexible evaluation of surrogacy in platform studies
Flexible evaluation of surrogacy in platform studies Open
Summary Trial-level surrogates are useful tools for improving the speed and cost effectiveness of trials but surrogates that have not been properly evaluated can cause misleading results. The evaluation procedure is often contextual and de…
View article: Development and Validation of an Accessible Model for Predicting Haematological Malignancies in Primary Care. A Population-Based Study
Development and Validation of an Accessible Model for Predicting Haematological Malignancies in Primary Care. A Population-Based Study Open
View article: The association of serum vitamin D with incident diabetes in an African American population
The association of serum vitamin D with incident diabetes in an African American population Open
View article: Accessible Computation of Tight Symbolic Bounds on Causal Effects using an Intuitive Graphical Interface
Accessible Computation of Tight Symbolic Bounds on Causal Effects using an Intuitive Graphical Interface Open
Strong untestable assumptions are almost universal in causal point estimation. In particular settings, bounds can be derived to narrow the possible range of a causal effect. Symbolic bounds apply to all settings that can be depicted using …
View article: Cross-direct effects in settings with two mediators
Cross-direct effects in settings with two mediators Open
Summary When multiple mediators are present, there are additional effects that may be of interest beyond the well-known natural (NDE) and controlled direct effects (CDE). These effects cross the type of control on the mediators, setting on…