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Peter C Austin

Showing results (11-20 of 892) with videos related to

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Statistics in Medicine|April 2, 2026
Using Propensity Score Weighting With Clustered Data When the Treatment Is Applied at the Level of the Cluster and Outcomes Are Assessed at the Level of the Individual: The Observational Analog of Cluster Randomization TrialsPeter C Austin
Statistical Methods in Medical Research|April 24, 2024
The performance of marginal structural models for estimating risk differences and relative risks using weighted univariate generalized linear modelsPeter C Austin
American Journal of Epidemiology|August 31, 2010
Statistical criteria for selecting the optimal number of untreated subjects matched to each treated subject when using many-to-one matching on the propensity scorePeter C Austin
The International Journal of Biostatistics|October 16, 2010
Estimating multilevel logistic regression models when the number of clusters is low: a comparison of different statistical software proceduresPeter C Austin
Journal of Statistical Computation and Simulation|January 12, 2018
Statistical power to detect violation of the proportional hazards assumption when using the Cox regression modelPeter C Austin
Statistical Methods in Medical Research|February 9, 2018
Assessing covariate balance when using the generalized propensity score with quantitative or continuous exposuresPeter C Austin
Statistics in Medicine|December 23, 2006
A comparison of regression trees, logistic regression, generalized additive models, and multivariate adaptive regression splines for predicting AMI mortalityPeter C Austin
Statistics in Medicine|December 26, 2006
The performance of different propensity score methods for estimating marginal odds ratiosPeter C Austin
Statistics in Medicine|September 17, 2009
Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samplesPeter C Austin
Journal of Evaluation in Clinical Practice|June 16, 2009
Are (the log-odds of) hospital mortality rates normally distributed? Implications for studying variations in outcomes of medical carePeter C Austin
Pageof 90

Showing results (11-20 of 892) with videos related to

Sort By:
Pageof 90
Statistics in Medicine|April 2, 2026
Using Propensity Score Weighting With Clustered Data When the Treatment Is Applied at the Level of the Cluster and Outcomes Are Assessed at the Level of the Individual: The Observational Analog of Cluster Randomization TrialsPeter C Austin
Statistical Methods in Medical Research|April 24, 2024
The performance of marginal structural models for estimating risk differences and relative risks using weighted univariate generalized linear modelsPeter C Austin
American Journal of Epidemiology|August 31, 2010
Statistical criteria for selecting the optimal number of untreated subjects matched to each treated subject when using many-to-one matching on the propensity scorePeter C Austin
The International Journal of Biostatistics|October 16, 2010
Estimating multilevel logistic regression models when the number of clusters is low: a comparison of different statistical software proceduresPeter C Austin
Journal of Statistical Computation and Simulation|January 12, 2018
Statistical power to detect violation of the proportional hazards assumption when using the Cox regression modelPeter C Austin
Statistical Methods in Medical Research|February 9, 2018
Assessing covariate balance when using the generalized propensity score with quantitative or continuous exposuresPeter C Austin
Statistics in Medicine|December 23, 2006
A comparison of regression trees, logistic regression, generalized additive models, and multivariate adaptive regression splines for predicting AMI mortalityPeter C Austin
Statistics in Medicine|December 26, 2006
The performance of different propensity score methods for estimating marginal odds ratiosPeter C Austin
Statistics in Medicine|September 17, 2009
Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samplesPeter C Austin
Journal of Evaluation in Clinical Practice|June 16, 2009
Are (the log-odds of) hospital mortality rates normally distributed? Implications for studying variations in outcomes of medical carePeter C Austin
Pageof 90