Literature DB >> 32658650

Statistical Analysis and Reporting Guidelines for CHEST.

Michael W Kattan1, Andrew J Vickers2.   

Abstract

Considerable heterogeneity persists in the conduct and reporting of statistical analyses in the medical literature. Authors submitting manuscripts to CHEST are encouraged to adhere to the following guidelines where possible.
Copyright © 2020 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  P values; design and statistical analysis; statistical reporting

Mesh：

Year:  2020        PMID： 32658650      PMCID： PMC8176645          DOI： 10.1016/j.chest.2019.10.064

Source DB:  PubMed          Journal:  Chest        ISSN： 0012-3692            Impact factor:   9.410


  1 in total

1.  Guidelines for reporting of statistics for clinical research in urology.

Authors:  Melissa Assel; Daniel Sjoberg; Andrew Elders; Xuemei Wang; Dezheng Huo; Albert Botchway; Kristin Delfino; Yunhua Fan; Zhiguo Zhao; Tatsuki Koyama; Brent Hollenbeck; Rui Qin; Whitney Zahnd; Emily C Zabor; Michael W Kattan; Andrew J Vickers
Journal:  BJU Int       Date:  2019-01-20       Impact factor: 5.588
  1 in total
  4 in total

1.  PROMIS global health: potential utility as a screener to trigger construct-specific patient-reported outcome measures in clinical care.

Authors:  Brittany Lapin; Irene L Katzan
Journal:  Qual Life Res       Date:  2022-08-10       Impact factor: 3.440

2.  Prediction of prognosis in elderly patients with sepsis based on machine learning (random survival forest).

Authors:  Luming Zhang; Tao Huang; Fengshuo Xu; Shaojin Li; Shuai Zheng; Jun Lyu; Haiyan Yin
Journal:  BMC Emerg Med       Date:  2022-02-11

3.  Anti-embolism devices therapy to improve the ICU mortality rate of patients with acute myocardial infarction and type II diabetes mellitus.

Authors:  Xiaxuan Huang; Luming Zhang; Mengyuan Xu; Shiqi Yuan; Yan Ye; Tao Huang; Haiyan Yin; Jun Lyu
Journal:  Front Cardiovasc Med       Date:  2022-07-19

4.  Development and validation of a nomogram to predict overall survival for patients with metastatic renal cell carcinoma.

Authors:  Wenwen Zheng; Weiwei Zhu; Shengqiang Yu; Kangqi Li; Yuexia Ding; Qingna Wu; Qiling Tang; Quan Zhao; Congxiao Lu; Chenyu Guo
Journal:  BMC Cancer       Date:  2020-11-04       Impact factor: 4.430
  4 in total

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