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Comparative summary statistics for demographic, clinical and laboratory data.

Figshare2015-12-02 更新2026-04-29 收录

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https://figshare.com/articles/dataset/_Comparative_summary_statistics_for_demographic_clinical_and_laboratory_data_/379878 数据链接链接失效反馈

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All figures are medians (interquartile ranges) or number (percent).

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创建时间：

2015-12-02

疫情监测

流行病学分析

This dataset contains estimates of daily and cumulative infections with SARS-CoV-2 from the beginning of the pandemic through November 14, 2021, as well as estimates of cumulative COVID-19 deaths (adj

DataCite Commons2022-04-15 更新140

Epidemiological Update Zika Operation Americas

寨卡病毒

流行病学分析

Epidemiological Update Zika Operation Americas

data.world2019-09-13 更新20

Prevalence of urogenital schistosomiasis by urine microscopy, macro and microhaematuria stratified according to socio-demographic characteristics of the study participants (n = 385).

尿路血吸虫病

流行病学分析

Prevalence of urogenital schistosomiasis by urine microscopy, macro and microhaematuria stratified according to socio-demographic characteristics of the study participants (n = 385).

NIAID Data Ecosystem10

Sensitivity analysis of multivariate logistic regression analyses for in-hospital death adjusted by multiple propensity score and in-hospital variables using data of the cases with complete data (n = 279).

住院风险预测

临床统计

Sensitivity analysis of multivariate logistic regression analyses for in-hospital death adjusted by multiple propensity score and in-hospital variables using data of the cases with complete data (n =

NIAID Data Ecosystem30

Summary of criteria used for including participants in seven types of analyses for efficacy as described in protocols, statistical analysis plans, and publications across the nine included trials.

临床统计

精神药物疗效评估

aThis table summarizes data presented in Tables 4 and 5 and Text S1's table 1. Along the top row in this table, we show every type of efficacy analysis described in the protocols, SAPs, and publicatio

Figshare2015-12-02 更新10

Comparative summary statistics for demographic, clinical and laboratory data.

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