Hisashi Noma

Professor

The Institute of Statistical Mathematics

Japan

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About

Hisashi Noma is a Professor at The Institute of Statistical Mathematics in Japan. His research focuses on statistical methodologies in health sciences, particularly in causal inference, risk assessment, and Bayesian analysis. His recent publications address topics such as longitudinal studies, logistic regression models, and the efficacy of treatments for chronic conditions.

Articles (17)

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2024

Collaborators (10)

Naoto Tamura

Associate Professor

Juntendo University

JAPAN

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Nobuyuki Yajima

Professor

Showa University

JAPAN

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Shonosuke Sugasawa

University of Tokyo

JAPAN

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Takumi Onoyama

University of Tokyo

JAPAN

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Takashi Kida

Assistant professor

Kyoto Prefectural University of Medicine

JAPAN

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Toshi A. Furukawa

JAPAN

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Wataru Fujii

Assistant professor

Kyoto Prefectural University of Medicine

JAPAN

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Takashi Tamura

Wakayama Medical University

JAPAN

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Takanori Imai

department of pediatrics university of cincinnati college of medicine cincinnati ohio usa

JAPAN

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Masatsugu Sakata

Assistant Professor

Kyoto University

JAPAN

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Hisashi Noma

Research Interests

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About

Articles (17)

Differences in phenotypes, treatments, and outcomes of ANCA-associated vasculitis across Europe, Japan and the USA in 2020

Causal Risk Ratio and Causal Risk Difference in Longitudinal Studies With Frequent Outcome Events

Confidence Intervals of Risk Ratios for the Augmented Logistic Regression with Pseudo-Observations

Logistic Mixed‐Effects Model Analysis With Pseudo‐Observations for Estimating Risk Ratios in Clustered Binary Data Analysis

Quasi‐likelihood ratio tests and the Bartlett‐type correction for improved inferences of the modified Poisson and least‐squares regressions for binary outcomes

Systemic indocyanine green administration to detect bile leakage after liver surgery: a prospective clinical trial, using historical controls

Efficacy and Safety of Phosphate-Lowering Agents for Adult Patients with CKD Requiring Dialysis

Finite-sample improved confidence intervals based on the estimating equation theory for the modified Poisson and least-squares regressions

Determining the prior mean in Bayesian logistic regression with sparse data: a nonarbitrary approach

Robust inference methods for meta‐analysis involving influential outlying studies

A chatbot to improve adherence to internet-based cognitive–behavioural therapy among workers with subthreshold depression: a randomised controlled trial

Effectiveness of intravenous methylprednisolone pulse in patients with severe microscopic polyangiitis and granulomatosis with polyangiitis

Postural Control Characteristics in Alzheimer’s Disease, Dementia With Lewy Bodies, and Vascular Dementia

Prognostic Factors for Severe-to-Fatal Post-Endoscopic Retrograde Cholangiopancreatography Pancreatitis: A Multicenter Prospective Cohort Study

Efficacy of biological agents combined with oral immunotherapy (OIT) for food allergy: a protocol for a systematic review and meta-analysis

Variance Estimation for Logistic Regression in Case-cohort Studies

Bayesian estimation and prediction for network meta-analysis with contrast-based approach

Collaborators (10)

Naoto Tamura

Nobuyuki Yajima

Shonosuke Sugasawa

Takumi Onoyama

Takashi Kida

Toshi A. Furukawa

Wataru Fujii

Takashi Tamura

Takanori Imai

Masatsugu Sakata

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