Estimating Common-Cause Sigma in the Presence of Special Causes

1997 ◽  
Vol 29 (4) ◽  
pp. 381-395 ◽  
Author(s):  
Russell A. Boyles
Keyword(s):  
Common Cause ◽  
Special Causes

Six Sigma to distinguish patterns in COVID-19 approaches

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Willem Salentijn ◽  
Jiju Antony ◽  
Jacqueline Douglas
Keyword(s):  
Six Sigma ◽  
Design Methodology ◽  
Similar Data ◽  
National Data ◽  
Common Cause ◽  
Content Type ◽  
Data Registration ◽  
The Moment ◽  
Special Causes ◽  
Cross National

PurposeCOVID-19 has changed life as we know. Data are scarce and necessary for making decisions on fighting COVID-19. The purpose of this paper is to apply Six Sigma techniques on the current COVID-19 pandemic to distinguish between special cause and common cause variation. In the DMAIC structure, different approaches applied in three countries are compared.Design/methodology/approachFor three countries the mortality is compared to the population to distinguish between special cause variation and common cause variation. This variation and the patterns in it are assessed to the countries' different approaches to COVID-19.FindingsIn the DMAIC problem-solving approach, patterns in the data are distinguished. The special cause variation is assessed to the special causes and approaches. The moment on which measures were taken has been essential, as well as policies on testing and distancing.Research limitations/implicationsCross-national data comparisons are a challenge as countries have different moments on which they register data on their population. Furthermore, different intervals are taken, varying from registering weekly to registering yearly. For the research, three countries with similar data registration and different approaches in fighting COVID-19 were taken.Originality/valueThis is the first study with Master Black Belts from different countries on the application of Six Sigma techniques and the DMAIC from the viewpoint of special cause variation on COVID-19.

scholarly journals IKHTILAF AL-MUFASSIRIN: MEMAHAMI SEBAB-SEBAB PERBEDAAN ULAMA DALAM PENAFSIRAN ALQURAN

2019 ◽  
Vol 4 (2) ◽  
pp. 285-306
Author(s):  
Ahmad Zainal Abidin
Keyword(s):  
Islamic Law ◽  
Common Cause ◽  
Differences Of Opinion ◽  
Shari'a Law ◽  
Special Causes

All Muslims agree that the Qur’an is the first and main source of Islamic law. Nevertheless, this scripture does not guarantee the same result of interpretation, given that the background of life surrounding of the interpreter is different. This paper will review the forms of ikhtilaf al-mufassirin and the causes that bring it up. In examining the causes of ikhtilaf al-mufassirin, there are at least two causes; (1) a common cause, such as the occurrence of ikhtilaf in the case of qira’at, i’rab, musytarak, hakakat-majaz, ‘am-khas, mutlaq-muqayyad, mujmal-mubayyan, amr-nahi, nasikh-mansukh, and ikhtilaf in positioning reason as the source of shari’a law; (2) special causes, such as ikhtilaf in criticism of sanad and matan, ikhtilaf in taking a source of law, and ikhtilaf in the case of aqidah and madhhab. While the forms of ikhtilaf al-mufassirin there are also two forms; (1) ikhtilaf tanawwu’, ie dissent of opinion which is all aimed at the same intention; (2) ikhtilaf taddad, that is, differences of opinion which is conflicting and can not be united.

scholarly journals IKHTILAF AL-MUFASSIRIN: MEMAHAMI SEBAB-SEBAB PERBEDAAN ULAMA DALAM PENAFSIRAN ALQURAN

2019 ◽  
Vol 4 (2) ◽  
pp. 285-306
Author(s):  
Ahmad Zainal Abidin
Keyword(s):  
Islamic Law ◽  
Common Cause ◽  
Differences Of Opinion ◽  
Shari'a Law ◽  
Special Causes

All Muslims agree that the Qur’an is the first and main source of Islamic law. Nevertheless, this scripture does not guarantee the same result of interpretation, given that the background of life surrounding of the interpreter is different. This paper will review the forms of ikhtilaf al-mufassirin and the causes that bring it up. In examining the causes of ikhtilaf al-mufassirin, there are at least two causes; (1) a common cause, such as the occurrence of ikhtilaf in the case of qira’at, i’rab, musytarak, hakakat-majaz, ‘am-khas, mutlaq-muqayyad, mujmal-mubayyan, amr-nahi, nasikh-mansukh, and ikhtilaf in positioning reason as the source of shari’a law; (2) special causes, such as ikhtilaf in criticism of sanad and matan, ikhtilaf in taking a source of law, and ikhtilaf in the case of aqidah and madhhab. While the forms of ikhtilaf al-mufassirin there are also two forms; (1) ikhtilaf tanawwu’, ie dissent of opinion which is all aimed at the same intention; (2) ikhtilaf taddad, that is, differences of opinion which is conflicting and can not be united.

The Principle of the Common Cause

2009 ◽  
Author(s):  
Gabor Hofer-Szabo ◽  
Miklos Redei ◽  
Laszlo E. Szabo
Keyword(s):  
Common Cause ◽  
The Common

Vergleichende Qualitätsmessungen Teil 2: Regelkarten

Pflege ◽  
2013 ◽  
Vol 26 (2) ◽  
pp. 119-127 ◽  
Author(s):  
Jan Kottner ◽  
Armin Hauss
Keyword(s):  
Control Charts ◽  
Common Cause

Vergleichende Qualitätsmessungen und Beurteilungen spielen in der Pflege eine zunehmend wichtige Rolle. Qualitätskennzahlen sind von systematischen und zufälligen Fehlern beeinflusst. Eine Möglichkeit, mit zufälliger Variation in Kennzahlenvergleichen adäquat umzugehen, bietet die Theorie der Statistischen Prozesskontrolle (SPC). Im vorliegenden Beitrag werden Regelkarten (control charts) als Werkzeuge der SPC vorgestellt. Es handelt sich dabei um grafische Darstellungen von Qualitätskennzahlen im zeitlichen Verlauf. Attributive Merkmale können mithilfe von p-, u- und c-Regelkarten dargestellt werden. Es gibt eine Reihe von Regeln, mit denen spezielle Variationen (special cause variation) innerhalb des betrachteten Prozesses identifiziert werden können. Finden sich im Diagramm keine Hinweise auf nichtzufällige Variationen, geht man davon aus, dass sich der Prozess innerhalb «statistischer Kontrolle» befindet (common cause variation). Eine Abweichung eines Datenpunktes um mehr als drei Standardabweichungen vom Mittelwert aller vorliegenden Datenpunkte gilt als stärkstes Signal nicht zufallsbedingter Variation. Im Qualitätsmanagementkontext sind Regelkarten für die dynamische Messung von Prozessen und Ergebnissen und deren Beurteilungen traditionellen Mittelwerts- und Streuungsvergleichen überlegen.

Vergleichende Qualitätsmessungen Teil 3: Funnel Plots

Pflege ◽  
2014 ◽  
Vol 27 (1) ◽  
pp. 41-49 ◽  
Author(s):  
Jan Kottner ◽  
Nils Lahmann
Keyword(s):  
Common Cause ◽  
Sind Eine ◽  
Funnel Plots

Kennzahlenbasierte Qualitätsvergleiche von Einrichtungen sind verbreitet. Neben der Standardisierung und Risikoadjustierung muss die zufallsbedingte Variabilität in den Daten adäquat berücksichtigt werden. Rankings ohne Berücksichtigung der Präzision führen zu Fehlinterpretationen und fördern Datenmanipulationen. Konfidenzintervalle um die Kennzahlen der Einzeleinrichtungen sind eine Möglichkeit, die Präzision zu berücksichtigen. Funnel Plots als Spezialform von Regelkarten basieren auf der Theorie der Statistischen Prozesskontrolle (SPC). Darin werden die Kennzahlen in Beziehung zur Gruppengröße gesetzt. Warn- und Kontrollgrenzen, die sich 2 bzw. 3 Standardabweichungen vom Mittelwert aller Kennzahlen befinden, laufen mit steigender Fallzahl aufeinander zu und bilden einen Trichter. Kennzahlen innerhalb der Kontrollgrenzen weisen eine natürlicherweise zu erwartende Variabilität (common cause variation), Kennzahlen außerhalb der Kontrollgrenzen spezielle Variabilität (special cause variation) auf. Der Rankinggedanke ist aufgehoben. Funnel Plots bieten datenbasierte Kriterien, die Leistung von Einrichtungen im Qualitätsmanagement-Kontext zu bewerten.

Current perspectives in antithrombotic therapy

2001 ◽  
Vol 21 (03) ◽  
pp. 82-96 ◽  
Author(s):  
D. Hoppensteadt ◽  
O. Iqbal ◽  
R. L. Bick ◽  
J. Fareed
Keyword(s):  
Blood Coagulation ◽  
Antithrombotic Therapy ◽  
Thrombotic Event ◽  
The United States ◽  
Vascular Thrombosis ◽  
Common Cause ◽  
Coagulation Protein ◽  
Coronary Events ◽  
Platelet Defects

SummaryThrombotic disorders are the most common cause of death in the United States. About two million individuals die each year from an arterial or venous thrombosis or related disorders. About 80% to 90% of all cases of thrombosis can now be defined with respect to cause. Of these, over 50% occur in patients who harbor a congenital or acquired blood coagulation protein or platelet defect which caused the thrombotic event. It is obviously of major importance to define those individuals harboring such a defect as this allows: 1) appropriate antithrombotic therapy to decrease risks of recurrence; 2) determination of the length of time the patient must remain on therapy for secondary prevention; and 3) allow for testing of family members of those harboring a blood coagulation protein or platelet defect which is hereditary (about 50% of all coagulation and platelet defects mentioned above). Aside from mortality, significant additional morbidity occurs from both arterial or venous thrombotic events, including, but not limited to paralysis (non-fatal thrombotic stroke), cardiac disability (repeated coronary events), loss of vision (retinal vascular thrombosis), fetal waste syndrome (placental vascular thrombosis), stasis ulcers and other manifestations of post-phlebitic syndrome, etc.

Male Osteoporosis

2013 ◽  
Vol 22 (04) ◽  
pp. 260-266 ◽  
Author(s):  
S. P. Tuck ◽  
R. M. Francis ◽  
B. C. Hanusch
Keyword(s):  
Prostate Cancer ◽  
Older Men ◽  
Good Evidence ◽  
Male Osteoporosis ◽  
Fracture Rate ◽  
Common Cause ◽  
Increased Risk ◽  
Osteoporosis In Men ◽  
Considerable Morbidity ◽  
Secondary Causes

SummaryMale osteoporosis is common and results in considerable morbidity and mortality. There are distinct differences in the normal aging of bone between the genders, which result in a lower fracture rate in men. Men who suffer from osteoporosis are much more likely than women to have secondary causes. The identification and treatment of these secondary causes, wherever possible, will result in substantial improvements in BMD. There is now evidence for use of many of the existing agents to treat osteoporosis in men. In younger hypogonadal men testosterone replacement is worth considering, but in older men especially the over sixties this is less effective and there is an increased risk of adverse cardiovascular and prostatic outcomes. Prostate cancer is an increasingly common cause, which is partially the result of the success of ADT. There is now good evidence for the use of bisphosphonates and denosumab in this group of patients. HIV, whilst not being specific to men, is an increasingly recognised cause of male osteoporosis. The reasons for this are multifactorial and some may well be attributable to the anti-retroviral therapy itself. There is emerging evidence of an increased fracture risk in HIV infected individuals. The bone loss can be prevented by the use of bisphosphonates.

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