International Journal of

Clinical Biostatistics and BiometricsISSN: 2469-5831

Early Online

 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