Basics & Definition

Navigation Menu

General issues of Vaccine
Cold chain Correlates of Protection Vaccines for Asplenia Vaccines for Pregnant women Vaccines for Immunocompromised hosts Vaccine hesitancy Additional materials of vaccine

General issues of Tropical med.

Definition of Tropical Medicine Matrices of tropical infection General issues of Helminths Neglected Tropical Diseases Sexually-transmitted infections Non-Communicable Diseases Maternal health and contraception Child health Malnutrition and Micronutrient Eosinophilia Fever in the tropics Diarrhea in the tropics Anemia in the tropics Dermatology in the tropics Ophthalmology in the tropics Neurology in the tropics Mental health in the tropics Surgery in the tropics Humanitarian emergency Epidemiology in outbreak Antimicrobial resistance Pathology of infectious diseases

General issues of Travel med.
Epidemiology of Travel health Last minute traveler Time zone issue High altitude medicine Diving medicine Pregnancy and travel Children and travel Elderly and travel

Immunology
Principle of human immune system Innate immunity Cellular immunity Humoral immunity Neutralizing antibody and its assay Antigenic Cartography Additional materials of immunology

Epi & Stats
Basics & Definition Epidemiology Odds in statistics and Odds in a horse race Collider bias Data distribution Statistical test Regression model Multivariate analysis Marginal effects Prediction and decision Table-related commands in STATA Missing data and imputation

Virus
HIV HIV-TB co-infection HIV-STI interaction Viral Hemorrhagic Fever Ebola Crimean-Congo hemorrhagic fever SFTS Rabies Polio Dengue Yellow fever Chikungunya Zika Japanese encephalitis Tick-borne encephalitis Viral hepatitis Measles Smallpox and Monkeypox Respiratory Syncytial virus

COVID-19
Bivalent BA.1/BA.4-5 mRNA vaccines Monovalent XBB-1.5 mRNA vaccine Private archives of the initial phase of the pandemic Private archives of lecture materials of COVID vaccine as of March 2021 厚生労働省が発出する保健行政関連の文書の読み解き方

Bacteria
Bacteriological tests Tuberculosis Tuberculosis in Children HIV-TB co-infection Leprosy Dermatological mycobacterium infecions Syphilis and Yaws Plague Pneumococcus Meningococcus Typhoid Salmonellosis Melioidosis Leptospirosis Brucellosis Bartonellosis Lyme disease and Relapsing fever Tularaemia Tetanus Diphtheria Anthrax Coxiellosis

Rickettsia
Rickettsiosis Scrub typhus Spotted fevers Epidemic typhus Murine typhus

Protozoa
Overview of protozoa Overview of medicine for protozoa Malaria Chagas disease African trypanosomiasis Leishmaniasis Trichomoniasis Toxoplasmosis Amoebiasis Giardiasis Cryptosporidiosis Cyclosporiasis Isosporiasis Pentatrichomoniasis Microsporidiasis Babesiosis

Fungi
General issues of fungi Coccidioidomycosis Paracoccidioidomycosis Histoplasmosis Talaromycosis Blastomycosis Sporotrichosis

Nematode (roundworm)
Nematode principles Lympatic filariasis Onchocerciasis Loiasis Microscopic differentiation of microfilariae Strongyloidiasis Ascariasis Ancylostomiasis (hookworm) Trichuriasis (whipworm) Enterobiasis (pinworm) Angiostrongyliasis (rat lungworm) Dracunculiasis (Guinea worm) Anisakiasis Trichinellosis (Trichinosis) Gnathostomiasis Spirurinasis Soil-transmitted helminths

Trematode (fluke, distoma)
General issues of Helminths Trematode principles Schistosomiasis Clonorchiasis Fascioliasis Paragonimiasis Metagonimiasis

Cestode (tapeworm)
General issues of Helminths Cestode principles Diphyllobothriasis Sparganosis Taeniasis Echinococcosis

Medical Zoology
Zoonosis Insectology Mosquitology Acarology Batology Snake toxicology Scorpion and spider toxicology Marine toxicology

Self-assessment quizzes

• CDC Principles of Epidemiology
• Statistics - University of Southampton
• [1]

Types of variable

• *Quantitative/numerical variable is also called as covariate when it is an explanatory (independent) variable
• *Categorical/nominal variable is also called as factor when it is an explanatory (independent) variable

Ratio, Rate, Proportion

Every fraction is ratio.

Refer to this page too

Probability, Likelihood

--> see 'Probability, Likelihood' in 'Data distribution'

Origin of terminology

Why is it called "Student's t"?

William Gosset was a mathematician around the 19th to 20th century as well as he worked for the famous brewery Guinness. He found a new statistical distribution but Guinness did not allow their employees to publish any papers related to their business confidential affairs. Thus Gosset published his achievement under a nickname of Student.

t itself was later named through correspondences between Gosset and a statistician R.A. Fisher. The first description of t is appeared on the article by Fisher in 1924.

Why is it called "regression"?

In the 19th century, Sir Francis Galton investigated association between parents' heights and their offspring's heights. He found association between them had some characteristics that the higher the parents were the higher the offspring are but the offspring tended to shorter than their parents, and vise versa. He described the association as 'offspring's heights to regress (go back) towards mediocrity (average)'.

Since then regression to the mean has expanded to the regression model which provides the estimates of association between one dependent variable and one or more independent variables by a line.

Why is it called "logistic"?

The true reason remains unclear.

The French mathematician who created this term Pierre-François Verhulst first described this word "logistique" (Fr.) in his literature in 1845, "Recherches mathématiques sur la loi d'accroissement de la population," in NOUVEAUX MÉMOIRES DE L'ACADÉMIE ROYALE DES SCIENCES ET BELLES-LETTRES DE BRUXELLES, vol. 18, p 3.

In a figure Verhulst described an usual exponential curve as "logarithmique", and created a new word "logistique" to describe a distinct curve he created by his formula which is now known as a logistic regression formula, but he didn't note through what derivation he created the word.

Description of Logistic function in Wikipedia is here.

At least, it seems to have nothing to do with a general term "logistics".

Why is it called "bootstrapping"?

Bootstrap is a piece of cloth or leather at the back or the side of a boot that is used to help you pull it on. A broader meaning is also added the word as an approach to creating something with the minimum amount of possible resources.

There is also an idiom or a template expression of pull oneself up by one's bootstraps, which means to improve one's situation on one's own efforts without any other's help.

The method of bootstrapping is to derive new samples from the original observations with replacement, not from other data source, i.e., pulling samples up from themselves, which implies pull oneself up by one's bootstraps.