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International Journal of

Clinical Biostatistics and BiometricsISSN: 2469-5831

Early Online

 Open Access DOI:10.23937/2469-5831/1510053

Analyzing the Covariance Structure of Plasma Signaling Proteins in Relation to the Diagnosis of Dementia

Calvin Guan, Rhoda Au, Alvin Ang and Ashis Gangopadhyay

Article Type: Original Research | First Published: 2024/02/12

Numerous studies have shown that individuals with dementia have exhibited activation of inflammatory pathways in their brains. Typically, these studies use traditional and well-established regression methods for data analysis. In this paper, a new approach is introduced that utilizes the analysis of the covariance structure using methods related to the principal component analysis (PCA) theory. Eleven biomarkers related to neuroinflammation were used to determine the association with the onset o...

 Open Access DOI:10.23937/2469-5831/1510051

Biostatistical Methodologies in Clinical Trials: An Overview of Recent Developments and Pitfalls

Sagar Kumar Patel, Rachna Patel and Sandeep Bolla

Article Type: Review Article | First Published: August 16, 2023

Biostatistical analysis has emerged as one of the most crucial applications for clinical trial systems. The relevance of statistical analysis in clinical trials cannot be overstated in the advancement of novel pharmaceuticals and therapeutics. Data volumes, including effectiveness and safety summaries, are produced throughout the process of developing and approving novel medicines....

 Open Access DOI:10.23937/2469-5831/1510050

Fitting Birth and Death Queuing Models using Maximum Likelihood Estimation with Application to COVID-19 Pandemic in Sub-Saharan Africa

Nkemnole EB and Kuti OO

Article Type: Research Article | First Published: March 03, 2023

The COVID-19 pandemic has revealed facts about deficiencies in health resource planning of some countries having relatively high case count and death toll. The virus has undergone an observed increase of cases that led to a global pandemic. Many authors have developed different models for predicting or observing the current trend of COVID-19 pandemic. In this study, fitting birth and death models using maximum likelihood estimation (MLE) method with application to COVID-19 in sub-Sahara Africa i...

 Open Access DOI:10.23937/2469-5831/1510049

Hypothyroidism: A Small Clinical Trial Will Quickly Resolve the Combination Therapy Controversy

Timothy A Welborn, AO, PhD, FRCP, FRACP, MBBS and Satvinder S Dhaliwal, PhD, MSc, BSC

Article Type: Letter | First Published: October 23, 2022

Hypothyroidism is an extremely common condition. More than 100 million prescriptions for thyroxine (T4) are processed in the USA each year. T4 is the recommended treatment for hypothyroidism. But 5-15% of patients treated to target with T4 continue to have symptoms. Some of these patients respond dramatically to the addition of triiodothyronine (T3) as first reported 20 years ago....

 Open Access DOI:10.23937/2469-5831/1510048

A New Modified Liu Ridge-Type Estimator for the Linear Regression Model: Simulation and Application

Olasunkanmi J Oladapo, Abiola T Owolabi, Janet I Idowu and Kayode Ayinde

Article Type: Original Research | First Published: July 09, 2022

Several efforts have been made to solve the multicollinearity problem, which arises from correlated regressors in the linear regression model. This is because the Ordinary Least Squares (OLS) Estimator becomes inefficient in the presence of multicollinearity....

 Open Access DOI:10.23937/2469-5831/1510047

Development of a Novel Retrospective Instrument to Gauge the General Well-being Index and Lumbar Specific Disability Index Post Intervention in Lumbar Degenerative Disease

Song Ying Chong, MBBS, Mahmoud Danaee, PhD and Dharmendra Ganesan, FRCS

Article Type: Original Article | First Published: July 04, 2022

The clinical outcome data for patients who had a particular intervention for the lumbar degenerative disease is based on changes in symptomatology. This functional data had been acquired in a prospective manner using standard tools e.g., ODI, RMQ, SF-36 etc. Such data may be lacking in many facilities of developing countries due to various reasons....

 Open Access DOI:10.23937/2469-5831/1510046

Time Based Prediction of Breast Cancer Tumor Recurrence Using Machine Learning

Siddharth Raj Gupta

Article Type: Original Article | First Published: May 06, 2022

An in-depth study using the database from GLOBOCAN, CDC, and WHO health repository highlights the lethality of breast cancer, taking thousands of lives each year. Therefore, timely prediction of cancer can help patients to consult the doctor on time. In the past various studies have successfully predicted the nature of the tumor to be benign or malignant and if the breast cancer tumor will reoccur or not. However, no time-based models have been studied previously. With the help of Machine Learni...

 Open Access DOI:10.23937/2469-5831/1510045

Triple Negative Breast Cancer Prevalence in Indian Patients over a Decade: A Systematic Review

Suvobrata Sarkar and Murtaza Akhtar

Article Type: Systematic Review and Meta-analysis | First Published: January 12, 2022

Triple Negative Breast Cancer (TNBC) is an aggressive variant of breast cancer with penurious prognosis and limited therapeutic options. This subtype is characterised with higher incidence rate among the younger women, aggressive tumour behaviour, with early local recurrence and distant metastasis leading to poor outcomes. In India, majority of prevalence data of TNBC is hospital based from patient treated at tertiary care hospitals or centres ranging from 10% to 43% which is evident from the va...

 Open Access DOI:10.23937/2469-5831/1510044

The Comparison of Family Function and its Related Factors in First-Child Infertile Women and Second-Child Infertile Women after ‘Two-Child’ Policy in China

Tian Qiu, Zhi Ma, Yong Zhao, Wenling Wang, Huimin Jiang, Fengdi Wang, Yuelu Chen, Ting-Li Han, Yang Yang and Lianlian Wang

Article Type: Original Research | First Published: January 09, 2022

The increasing prevalence of infertility rate around the world has seriously impacted individuals, couples and families. This research identifies how infertility influences family functions in China under the newly introduced two-child policy. Specially, we compared family function between first-child infertile (FI) and second-child infertile (SI) women. This study included 572 infertile women of childbearing age, composed with 337 first-child infertile women and 235 second-child infertile women...

Volume 8
Issue 1