Meta‐analyzing count events over varying durations using the piecewise Poisson model: The case for poststroke seizures-Reference-Cited by-同舟云学术

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Meta‐analyzing count events over varying durations using the piecewise Poisson model: The case for poststroke seizures

Published:2020-11-15 Issue:3 Volume:12 Page:347-356
ISSN:1759-2879
Container-title:Research Synthesis Methods
language:en
Short-container-title:Research Synthesis Methods

Author:

Wang Wei‐Jhih¹^ORCID,Devine Beth¹²³,Bansal Aasthaa¹,White H. Steve²,Basu Anirban¹²³

Affiliation:

1. The Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute University of Washington Seattle Washington USA

2. Department of Pharmacy, School of Pharmacy University of Washington Seattle Washington USA

3. Department of Health Services University of Washington Seattle Washington USA

Publisher

Wiley

Subject

Education

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jrsm.1465

Reference48 articles.

1. Outcomes after Stroke in Patients with Previous Pressure Ulcer: A Nationwide Matched Retrospective Cohort Study

2. Meta-analytic Tools for Medical Decision Making: A Practical Guide

3. Aggregate data meta-analysis with time-to-event outcomes

4. Extracting summary statistics to perform meta-analysis of the published literature for survival endpoints

5. Enhanced secondary analysis of survival data: reconstructing the data from published Kaplan-Meier survival curves

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